Image classification has become an essential component in various industry applications and an important direction in machine learning research.
In the last few years, a number of studies have explored the idea of solving the image classification task using quantum computing technologies.
Thereby, much attention has been paid to variational quantum algorithms.
[1]} provide an overview of these algorithms, [2]} and [3]} summarize the idea of applying variational circuits in the machine learning context.
[4]} perform binary image classification using a variational circuit consisting of basic unitary transformations that act on the input data encoded into qubits through the qubit encoding method.
[5]} propose a similar method, but apply amplitude encoding to prepare the input for a quantum system.
